干旱区生态环境知识资源中心(Arid): 预报式灌溉决策支持系统下棉田土壤氮磷的淋失与利用

Arid

	预报式灌溉决策支持系统下棉田土壤氮磷的淋失与利用
其他题名	Using Decision-support Irrigation System to Reduce Nitrogen and Phosphorus Leaching and Improve Their Uptake by Cotton
	靳思佳; 齐志明; 桂东伟; 李向义; 曾凡江; 陈小平
来源期刊	灌溉排水学报
ISSN	1672-3317
出版年	2021
卷号	40 期号:3 页码:70-78
中文摘要	【目的】探究预报式灌溉决策支持系统对减少新疆典型绿洲棉田土壤氮磷损失的影响。【方法】采用双因素完全随机试验,设置3种灌溉决策方式(预报式灌溉(D SSIS)、墒情灌溉(SMS)、经验灌溉(E))和2个灌溉量水平(100%(FI)与75%(DI)),研究了不同灌溉决策和灌水量对土壤氮磷分布、棉花生物量、氮磷吸收和产量的影响。【结果】①经验灌溉存在硝态氮淋失问题,预报式灌溉的硝态氮淋失风险大于墒情灌溉,但灌溉决策的改变不会引起速效磷在各土层的差异分布。②与E和SMS处理相比,DSSIS处理显著提高了28.5%和40.0%的棉花地上部全氮量。③DSSIS处理可最大提高33.7% 的籽棉产量,80.7%的水分生产力,25.2%的氮肥偏生产力和25.6%的磷肥偏生产力。【结论】预报式灌溉决策具有降低硝态氮淋失风险,促进棉花氮吸收,提高籽棉产量,提高水分生产力和氮磷肥偏生产力的综合优势。
英文摘要	【Background】A new irrigation support system has been developed based on water stress predicted by the root zone water quality model (RZWQM2) to aid irrigation scheduling; it has been tested since 2016 for cotton fields in an oasis in Xinjiang.【Objective】The purpose of this paper is to examine the efficacy of the system for predicting leaching and root uptake of nitrate and phosphorus (Olsen-P) against an experiment conducted in 2019 at a cotton field, in efforts to further test if the system can reduce nutrients leaching and improve their uptake by crop compared to traditional irrigation and fertigation methods.【Method】The experiment consisted of three decision-aid irrigation methods: irrigation based on the new system (DSSIS), irrigation based on soil moisture dynamics (SMS) and traditional irrigation method used by local farmers (E), and two irrigation levels: keeping soil moisture at 100% (FI) and 75% (DI) of the field capacity (DI) respectively. All treatments were organized in two-factor randomized blocks in the field. In each treatment, we measured NO3 ﹣ N and Olsen-P in the soil, cotton biomass, nitrogen and phosphorus in the cotton, as well as the cotton yield.【Result】① Traditional irrigation was more likely to result in NO3 ﹣ N leaching, and the risk of NO3 ﹣ N leaching in DSSSIS was higher than that in SMS. However, changing irrigation methods did not lead to a noticeable difference in Olsen-P distribution in the soil. ② Compared with E and SMS, DSSIS increased nitrogen content in the above-ground part of the cotton by 28.5% and 40.0% respectively. ③ DSSIS increased the yield of cotton seed by 33.7%, water productivity by 80.7%, partial productivity of nitrogen and phosphorus by 25.2% and 25.6% respectively.【Conclusion】DSSIS not only reduced the risk of NO3 ﹣ N leaching and promoted root nitrogen uptake, it also improved seed yield, water productivity and partial productivity of both nitrogen and phosphorus fertilizers.
中文关键词	灌溉 ; 硝态氮 ; 速效磷 ; 模型 ; 土壤
英文关键词	irrigation NO3 ﹣ N Olsen-P model soil
类型	Article
语种	中文
收录类别	CSCD
WOS类目	Agriculture
CSCD记录号	CSCD:6930856
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/354319
作者单位	靳思佳, 中国科学院新疆生态与地理研究所;;新疆策勒荒漠草地生态系统国家野外科学观测研究站;;中国科学院大学, 荒漠与绿洲生态国家重点实验室;;新疆策勒荒漠草地生态系统国家野外科学观测研究站;;, 乌鲁木齐;;策勒;;, ;;新疆;;北京 830011;;848300;;100049. 陈小平, 中国科学院新疆生态与地理研究所;;新疆策勒荒漠草地生态系统国家野外科学观测研究站;;中国科学院大学, 荒漠与绿洲生态国家重点实验室;;新疆策勒荒漠草地生态系统国家野外科学观测研究站;;, 乌鲁木齐;;策勒;;, ;;新疆;;北京 830011;;848300;;100049. 齐志明, 中国科学院新疆生态与地理研究所;;新疆策勒荒漠草地生态系统国家野外科学观测研究站;;加拿大麦吉尔大学生物资源工程系, 荒漠与绿洲生态国家重点实验室;;新疆策勒荒漠草地生态系统国家野外科学观测研究站;;, 乌鲁木齐;;策勒;;魁北克省圣安妮德贝勒维, ;;新疆;;加拿大 830011;;848300;;H9X 3V9. 桂东伟, 中国科学院新疆生态与地理研究所;;新疆策勒荒漠草地生态系统国家野外科学观测研究站, 荒漠与绿洲生态国家重点实验室;;新疆策勒荒漠草地生态系统国家野外科学观测研究站, 乌鲁木齐;;策勒, ;;新疆 830011;;848300. 李向义, 中国科学院新疆生态与地理研究所;;新疆策勒荒漠草地生态系统国家野外科学观测研究站, 荒漠与绿洲生态国家重点实验室;;新疆策勒荒漠草地生态系统国家野外科学观测研究站, 乌鲁木齐;;策勒, ;;新疆 830011;;848300. 曾凡江, 中国科学院新疆生态与地理研究所;;新疆策勒荒漠草地生态系统国家野外科学观测研究站, 荒漠与绿洲生态国家重点实验室;;新疆策勒荒漠草地生态系统国家野外科学观测研究站, 乌鲁木齐;;策勒, ;;新疆 830011;;848300.
推荐引用方式 GB/T 7714	靳思佳,齐志明,桂东伟,等. 预报式灌溉决策支持系统下棉田土壤氮磷的淋失与利用[J],2021,40(3):70-78.
APA	靳思佳,齐志明,桂东伟,李向义,曾凡江,&陈小平.(2021).预报式灌溉决策支持系统下棉田土壤氮磷的淋失与利用.灌溉排水学报,40(3),70-78.
MLA	靳思佳,et al."预报式灌溉决策支持系统下棉田土壤氮磷的淋失与利用".灌溉排水学报 40.3(2021):70-78.